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Data Graph Lab

A lab specialized in semantic technologies, knowledge graphs, and ontology-driven data management, helping organizations transform complex and distributed data into accessible, connected, and actionable knowledge.

Where Data Becomes Knowledge

The Data Graph Lab is the center of expertise for semantic technologies, knowledge graphs, and ontology-driven data management. Building on OBDA Systems innovations, it helps organizations connect and explore distributed information through ontologies, Virtual Knowledge Graphs, and OBDM. Its technologies transform fragmented data into accessible, interoperable knowledge for enterprise applications and decision-making.

Distinctive Approach

Semantic First

The lab places semantic models at the center of data management, creating a shared representation of business concepts, relationships, and rules that simplifies access to enterprise information.

Virtualization

Data can remain in existing systems while being exposed through a unified semantic layer, reducing the need for data duplication, ETL processes, or large-scale repository migrations.

Explainability

Knowledge graphs and ontologies make relationships, rules, and data provenance explicit, helping users better understand how information is connected and where insights originate.

Governance & Quality

An ontology-driven approach, combined with quality controls, helps ensure data consistency and strengthen trust in enterprise information assets.

Focus Areas

Knowledge Graph Engineering
This area focuses on the design and development of Enterprise Knowledge Graphs that represent business domains, entities, and relationships, enabling richer exploration and understanding of complex information landscapes.
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Ontology-based Data Management
This area develops semantic technologies that allow users to access, integrate, and govern distributed data through ontologies and mappings, abstracting the complexity of underlying systems and data sources.
02
Semantic Data Platforms
This area builds and evolves products such as Monolith, Mastro, and related technologies for ontology design, semantic querying, virtual knowledge graphs, data lineage, self-service analytics, and data quality management.
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Discover more about OBDA Systems

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